A FRAMEWORK FOR DEVELOPING A KNOWLEDGE-BASED DECISION SUPPORT SYSTEM FOR MANAGEMENT OF VARIATION ORDERS FOR INSTITUTIONAL BUILDINGS

被引:0
|
作者
Arain, Faisal Manzoor [1 ]
Pheng, Low Sui [1 ]
机构
[1] Natl Univ Singapore, Sch Design & Environm, Dept Bldg, Singapore, Singapore
关键词
decision support; institutional buildings; knowledge base; variations; change orders;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study describes the framework for developing a knowledge-based decision support system (KBDSS) for making more informed decisions for managing variation orders in institutional buildings. The KBDSS framework consists of two main components, i.e., a knowledge base and a decision support shell. The database will be developed through collecting data from source documents of 80 institutional projects, questionnaire survey, literature review and in-depth interview sessions with the professionals who were involved in these institutional projects. The knowledge base will be developed through initial sieving and organization of data from the database. The decision support shell would provide decision support through a structured process consisting of building the hierarchy between the main criteria and the suggested controls, rating the controls, and analyzing the controls for selection through multiple analytical techniques. The KBDSS would be capable of displaying variations and their relevant details, a variety of filtered knowledge, and various analyses of available knowledge. This would eventually lead the decision maker to the suggested controls for variations and assist in selecting the most appropriate controls. The KBDSS would assist project managers by providing accurate and timely information for decision-making, and a user-friendly system for analyzing and selecting the controls for variation orders for institutional buildings. The study would assist building professionals in developing an effective variation management system. The system would be helpful for them to take proactive measures for reducing variation orders. The findings from this study would also be valuable for all building professionals in general.
引用
收藏
页码:285 / 307
页数:23
相关论文
共 50 条
  • [41] A building's refurbishment knowledge-based decision support system
    Kaklauskas, Arturas
    Zavadskas, Edmundas Kazimieras
    Galiniene, Birute
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2008, 35 (2-4) : 237 - 249
  • [42] Research on the knowledge-based decision support system for the safety of rockets
    Wei, Li
    [J]. SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Vol 2, Proceedings, 2007, : 226 - 231
  • [43] A knowledge-based decision support system for measuring enterprise performance
    Wen, W.
    Chen, Y. H.
    Chen, I. C.
    [J]. KNOWLEDGE-BASED SYSTEMS, 2008, 21 (02) : 148 - 163
  • [44] A knowledge-based decision support system for shipboard damage control
    Calabrese, F.
    Corallo, A.
    Margherita, A.
    Zizzari, A. A.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (09) : 8204 - 8211
  • [45] ARIADNE - A KNOWLEDGE-BASED INTERACTIVE SYSTEM FOR PLANNING AND DECISION SUPPORT
    SAGE, AP
    WHITE, CC
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1984, 14 (01): : 35 - 47
  • [46] An integrated knowledge-based system for urban planning decision support
    Shan, F
    Xu, LD
    [J]. KNOWLEDGE-BASED SYSTEMS, 1997, 10 (02) : 103 - 109
  • [47] Knowledge-based decision support system for locating a manufacturing facility
    Jungthirapanich, Chamnong
    Benjamin, Colin O.
    [J]. IIE Transactions (Institute of Industrial Engineers), 1995, 27 (06): : 789 - 799
  • [48] A Knowledge-Based Approach for Decision Support System in Additive Manufacturing
    Jarrar, Qussay
    Belkadi, Farouk
    Bernard, Alain
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V, 2021, 634 : 319 - 327
  • [49] A KNOWLEDGE-BASED DECISION SUPPORT SYSTEM FOR CHINA CABBAGE DISEASES
    Li, Xinxing
    Fu, Zetian
    Zhang, Lingxian
    He, Shi
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2010, 16 (06): : 985 - 994
  • [50] Knowledge-based decision system
    R&D Decision Quality Assoc for, Strategic Decisions Group
    [J]. PC AI, 4 (32-34):